Model Comparison
GPT-5.3 Codex vs MiMo-V2.5-ProWhich is better in 2026?
Both models are evenly matched across the benchmarks. MiMo-V2.5-Pro is 8.9x cheaper per token.
Verdict: GPT-5.3 Codex vs MiMo-V2.5-Pro — which is better?
GPT-5.3 Codex (by OpenAI) and MiMo-V2.5-Pro (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.3 Codex outperforms in 1 benchmarks (Terminal-Bench 2.0), while MiMo-V2.5-Pro is better at 1 benchmark (SWE-Bench Pro). Both models are evenly matched across the benchmarks.
On price, MiMo-V2.5-Pro is roughly 8.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.3 Codex if…
- you want predictable pricing at $1.75/M input and $14.00/M output
Choose MiMo-V2.5-Pro if…
- cost matters — it's about 8.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.3 Codex outperforms in 1 benchmarks (Terminal-Bench 2.0), while MiMo-V2.5-Pro is better at 1 benchmark (SWE-Bench Pro).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.3 Codex ($1.75/1M tokens) is 4.0x more expensive than MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, GPT-5.3 Codex ($14.00/1M tokens) is 16.1x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).
In conclusion, GPT-5.3 Codex is more expensive than MiMo-V2.5-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to GPT-5.3 Codex's 400,000 tokens. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while GPT-5.3 Codex is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.3 Codex supports multimodal inputs, whereas MiMo-V2.5-Pro does not.
GPT-5.3 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.3 Codex
MiMo-V2.5-Pro
License
Usage and distribution terms
GPT-5.3 Codex is licensed under a proprietary license, while MiMo-V2.5-Pro uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-5.3 Codex was released on 2026-02-05, while MiMo-V2.5-Pro was released on 2026-04-27.
MiMo-V2.5-Pro is 3 months newer than GPT-5.3 Codex.
Feb 5, 2026
6 months ago
Apr 27, 2026
3 months ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.3 Codex is available from OpenAI. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
GPT-5.3 Codex
MiMo-V2.5-Pro
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.3 Codex and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.3 Codex vs MiMo-V2.5-Pro.